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Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords?

In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications.

Peer under the hood of the systems you already use, and learn how to use and operate them more effectively
  • Make informed decisions by identifying the strengths and weaknesses of different tools
  • Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity
  • Understand the distributed systems research upon which modern databases are built
  • Peek behind the scenes of major online services, and learn from their architectures
File Size: 23540 KB
Print Length: 616 pages
Simultaneous Device Usage: Unlimited
Publisher: O'Reilly Media; 1 edition (March 16, 2017)
Publication Date: March 16, 2017
Sold by: Amazon.com Services LLC
Language: English
ASIN: B06XPJML5D
Text-to-Speech: Enabled 
X-Ray:Enabled 
Word Wise: Not Enabled
Lending: Not Enabled
Enhanced Typesetting: Enabled 
Amazon Best Sellers Rank:
 #11,198 Paid in Kindle Store (See Top 100 Paid in Kindle Store)#1 in Data Modeling & Design (Kindle Store)
#1 in Database Management Systems
#2 in Desktop Database Books

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